QA_REFINED_DATA_WITH_RANDOM_DATA_20K_14-08
This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7704
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7267 | 1.0 | 15398 | 0.5604 |
| 0.6038 | 2.0 | 30796 | 0.6891 |
| 0.5527 | 3.0 | 46194 | 0.6547 |
| 0.4525 | 4.0 | 61592 | 0.6302 |
| 0.4608 | 5.0 | 76990 | 0.6090 |
| 0.4536 | 6.0 | 92388 | 0.7022 |
| 0.3907 | 7.0 | 107786 | 0.6366 |
| 0.3655 | 8.0 | 123184 | 0.6277 |
| 0.27 | 9.0 | 138582 | 0.7366 |
| 0.2742 | 10.0 | 153980 | 0.7704 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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